Application of Contrast Enhancement Method on Hip X-ray Images as a Media for Detecting Hip Osteoarthritis

Image enhancement is one of the most important areas that is being developed in the field of image processing technology. Image contrast enhancement can significantly improve the perception of the digital image itself. X-ray images are crucial in assisting physicians in the formulation of treatment decisions based on diagnostic information. Contrast enhancement techniques, including Histogram Equalization (HE), Contrast Limited Adaptive Histogram Equalization (CLAHE), and CLAHE with double Gamma Correction (CLAGAMTWO), have been utilized on 30 distinct image datasets. Among the three employed methods, the CLAGAMTWO approach yields the optimal values of SSIM = 0.850 and CNR = 0.773. CLAHE has superior performance with an Entropy value of 7.099. CLAGAMTWO is the superior approach overall, as evidenced by the average metric value, yielding optimal picture quality in visual structure (SSIM), information detail (Entropy), and crisp contrast with little noise (CNR).

@article{Muttaqin2024,
  title     = {Application of Contrast Enhancement Method on Hip X-ray Images as a Media for Detecting Hip Osteoarthritis},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {15},
  number    = {11},
  year      = {2024},
  publisher = {The Science and Information Organization},
  author    = {Faisal Muttaqin and Jamari and R Rizal Isnanto and Tri Indah Winarni and Athanasius Priharyoto Bayuseno},
  doi       = {10.14569/IJACSA.2024.0151174},
  url       = {https://doi.org/10.14569/IJACSA.2024.0151174}
}